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CORTICAL SURFACE PARCELLATION VIA DMRI USING MUTUAL NEAREST NEIGHBOR CONDITION

机译:使用互邻邻条件的DMRI皮质表面局部

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In this paper, we present a method that aims at parcellating the cortical surface from individual anatomy. The parcellation is obtained using the Mutual Nearest Neighbor (MNN) criterion to obtain regions with similar structural connectivity. The structural connectivity is obtained by applying a probabilistic tractography on the diffusion MRI (dMRI), a non-invasive modality allowing access to the structural information of the white matter. The results are compared to some of the atlases that can be found in the literature. We show that these atlases have lower similarity of structural connectivity than the proposed algorithm implying that the regions of the atlases may have lower functional homogeneity.
机译:在本文中,我们提出了一种方法,该方法旨在将皮质表面与个体解剖结构进行包装。使用相互最近邻(MNN)标准获得局部的局部,以获得具有相似结构连接的区域。通过在扩散MRI(DMRI)上施加概率牵引,非侵入式模态来获得结构连接,允许访问白物的结构信息。结果与一些可以在文献中找到的地图集进行比较。我们表明这些地图集的相似性比所提出的算法较低的结构连接相似性,这暗示了地图集的区域可能具有较低的功能均匀性。

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